Cloud Operations Engineer (3rd Shift, Weekend)

MongoDB

Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$90,000–$176,000 / yr
Posted
12 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $172k
This role $133k
$75k most similar roles pay here $226k

This role pays less than 73% of similar roles. Most pay $132,550–$211,200 — the shaded band above. At the midpoint, this role pays about $133k versus about $172k for comparable roles.

Based on 240 similar postings.

Employer

About MongoDB

MongoDB is a leading American software company that develops and provides commercial support for a popular, source-available document database. Designed to handle unstructured and structured data natively, its platform is purpose-built for modern cloud applications, analytics, and AI experiences.

MongoDB currently has 287 open roles on FindRole.

Listed pay typically runs $126,500–$209,000 across 104 roles with salary data.

Most-posted roles

View all roles at MongoDB

At a glance

TL;DR · Cloud Operations Engineer (3rd Shift, Weekend)

As a Cloud Operations Engineer at MongoDB Atlas, you will join the global Cloud Operations Engineering team responsible for ensuring the operational success of all Atlas customers. Your day-to-day responsibilities include creating and monitoring alert dashboards, reviewing critical events, troubleshooting performance issues, and performing server administration tasks. You must be adept at detecting, resolving, or escalating complex issues quickly. The role requires expertise in Linux system administration, monitoring tools like Splunk, networking technologies, and cloud platforms such as AWS, GCP, and Azure. Additionally, proficiency in scripting languages like Java, Go, Python, or JavaScript is essential. This position involves working a third shift from 11pm to 8am ET, contributing to the FedRAMP program by ensuring compliance with US government security standards, and collaborating closely with product management and engineering teams to enhance system reliability and performance.

What you'll do

  • Monitor and detect emerging customer-facing incidents on the Atlas platform.
  • Diagnose live incidents and differentiate between platform and usage issues.
  • Automate routine monitoring and troubleshooting tasks for efficiency.
  • Assist in performing root cause analysis after incident recovery.
  • Contribute to documentation of corner case scenarios and SOPs.
  • Coordinate with product management, cloud engineering, and support teams.

What we're looking for

  • At least 2 years of experience as a DevOps, SRE, or Cloud Operations engineer.
  • Expertise in Linux system administration and troubleshooting.
  • Proficiency in monitoring systems, analyzing performance data, and reporting.
  • Knowledge of database operations and concepts, including MongoDB.
  • Experience with networking technologies such as DNS and TCP/IP.
  • Familiarity with multiple cloud infrastructure platforms like AWS, GCP, Azure.
  • Ability to write scripts or small programs using Java, Go, Python, or JavaScript.

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